Scientific researcher in optical models & algorithms illumination (part-time option available, m/w/x)

ZEISS Group

Oberkochen

Presencial

EUR 70.000 - 95.000

Jornada completa

Hace 12 días

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Descripción de la vacante

ZEISS Group in Germany seeks a scientifically curious researcher with a Master’s or Diploma in Physics, Computational Physics/Math/Chemistry, or engineering with an HPC focus. You will support models/algorithms, develop next-gen algorithms for performance and lifetime modeling, and collaborate across optics, materials science, software, and product teams to translate research into practical applications.

The role emphasizes translating complex theory into scalable, robust software and

Formación

  • Master of Science or Diploma in Physics, Computational Physics/Math/Chemistry, or Engineering with HPC focus.
  • Strong scientific curiosity and deep interest in lithography systems, especially illumination.
  • Ability to work in interdisciplinary teams and communicate across technical backgrounds.
  • Proficient programming skills in Python, C++, Julia or Matlab.
  • Experience or interest in sustainable software development is welcome.

Responsabilidades

  • Support the models and algorithms team with subject-matter expertise.
  • Develop new algorithms for next-generation products to compute performance and lifetime behavior.
  • Collaborate with interdisciplinary teams (optics, materials science, software, product development) to translate research into application.
  • Identify transfer opportunities from adjacent topics into the illumination domain.
  • Plan, implement, validate, and document algorithms with a focus on scalability and robustness.
  • Communicate results, technical decisions, and roadmaps to stakeholders at all levels.

Conocimientos

Algorithms development
Interdisciplinary collaboration
Algorithm validation
Communication of results
Sustainable software development

Educación

Master's or Diploma in Physics/Computational Physics/Math/Chemistry/Engineering (HPC)

Herramientas

Python
C++
Julia
Matlab

Descripción del empleo

Enabler for smaller, more powerful, and more energy-efficient microchips

Working for tomorrow today.

Around 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every electronically controlled system, they have become an integral part of our everyday lives – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in the field of semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and process control solutions, ZEISS enables the production of ever smaller, increasingly powerful, and more energy-efficient microchips, and thus plays a pivotal role in the age of micro- and nanoelectronics.

Your Role
  • Support the models and algorithms team with your subject-matter expertise and in-depth knowledge of relevant methods

  • Develop new algorithms for next-generation products to compute performance and physical quantities, as well as to model lifetime behavior

  • Collaborate in interdisciplinary teams (e.g., optics, materials science, software, product development) to seamlessly translate research into application

  • Be a creative, innovative contributor to the team dynamics: identify transfer opportunities from adjacent topics into the illumination domain

  • Plan, implement, validate, and document algorithms with a focus on scalability and robustness

  • Communicate results, technical decisions, and roadmaps to stakeholders at all levels

Your Profile
  • You have a successfully completed Master of Science or Diploma degree (preferably in Physics, Computational Physics/Math/Chemistry, engineering with HPC focus, or similar) with initial professional experience in academic and/or industrial environments (PhD or Postdoc welcome).

  • You show a strong scientific curiosity and are ready to dive deep into the theory of lithography systems, particularly in the domain of illumination.

  • You are comfortable in an interdisciplinary, team-oriented environment and have demonstrated in various projects that you enjoy working self-motivated and structured according to scientific methods.

  • You can communicate effectively and convey the most important aspects of your work to people with different technical backgrounds.

  • Good programming skills, preferably in Python, C++, Julia or Matlab. Experience and interest in sustainable software development are welcome.

Your ZEISS Recruiting Team:

Matthias Sonnentag

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